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Record W1498768401 · doi:10.1109/vetec.1988.195425

A new power efficient multi-level correlative digital FM system

2003· article· en· W1498768401 on OpenAlexaff
J.-S. Seo, James Boyd

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Communication Techniques
Canadian institutionsNordion (Canada)
Fundersnot available
KeywordsComputer scienceElectronic engineeringDigital radioModulation (music)Intersymbol interferenceEmphasis (telecommunications)Phase-shift keyingBandwidth (computing)BandlimitingData transmissionTransmission (telecommunications)Bit error rateTelecommunicationsEngineeringComputer network

Abstract

fetched live from OpenAlex

A novel modulation technique to transmit bandlimited and intersymbol interference (ISI)-free multilevel digital signals is proposed for the use in digital radio-microwave, mobile and satellite radio systems. Emphasis is on the design of a 9.6 kb/s 4-level digital FM modem for satellite communications, especially for VSAT application. Experimental measured-eye diagrams and the power spectrum of this modem are reported. Optimization between the required signal power and bandwidth of the transmission channels could be done by selecting the number of signal levels and modulation index of the modem. A preliminary study shows that the modem technique may give better performance than coherent PSK systems, especially for low-speed data transmission where phase noise and lock-up speed of carrier recovery loop limit the system performance.>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.235
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2003
Admission routes1
Has abstractyes

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